Insilico Search Partners

Compensation

Full Description

Scientific Data Architect/Engineer – Life Sciences Data & AI About the Role We’re seeking a Scientific Data Architect/Engineer to design and deliver next-generation data solutions that accelerate discovery across the life sciences. You’ll work hands-on with scientists and engineers to transform complex experimental workflows into scalable, cloud-based data models, pipelines, and visualization tools. If you love bridging science, data, and engineering—and thrive in collaborative, high-impact environments—this role is for you. What You’ll Do • Partner with R&D teams to map and model scientific data workflows • Build scalable data pipelines and integrations using Python, APIs, and cloud tools (AWS preferred) • Develop visualization and app frameworks (e.g. Streamlit, Plotly, Holoviews) • Design extensible, reusable data models (tabular & JSON) for scientific data • Collaborate with business analysts, data scientists, and AI/ML engineers to deliver production-ready solutions • Rapidly prototype and iterate through demos and stakeholder feedback What You Bring • Ph.D. (7+ yrs) or M.S. (10+ yrs) in life sciences, bioinformatics, or computational disciplines • Proven experience designing data architectures and pipelines for scientific or R&D environments • Strong Python development skills; experience with APIs and data integration • Familiarity with ELN/LIMS, scientific file formats, and lab informatics systems • Excellent communicator who can engage both technical and scientific stakeholders